12 projects tagged "SQLite 3"
ITDB is a Web-based tool used to store information about assets found in office environments, with a focus on IT assets, but not limited to such. It will help you keep track of hardware, software, relationships between assets, invoices, locations, contracts, people, and rack layouts. It can also print labels for all assets.
FreeDiams is a program for making prescriptions of pharmaceutical drugs and testing their interactions. It is the result of building the FreeMedForms prescriber plugins into a standalone application. It is developed by medical doctors and is intended for use by these same professionals. It can be used to prescribe drugs and test drug interactions within a prescription. It can be linked to any application by way of its command line parameters. FreeDiams can use several drug databases, including the FDA_USA drug database, the French AFSSAPS drug database, the Canadian drug databases, and the South African drug database (SAEPI).
Easysync allows you to synchronize files among different computers. You pick up a directory you want to synchronize and Easysync will perform synchronisation whenever this directory is changed. The server part propagates the sync signal among clients, so that if there is a change on one client, all other clients will perform synchronization. It is based on Unison.
Blite is a lightweight blog application with a focus on simplicity and ease of use. It provides the essential features of a blog, including categories, archives, and comments. It can easily be themed by modifying a stylesheet and a few simple templates. Blite pages are fast-loading and validate as HTML 4.01. Comment spam is filtered to a spambox (by the use of blogspam.net), where it can be reviewed and deleted (or published). Blite requires PHP 5.3 (or later) with the sqlite extension, and the xmlrpc extension for comment spam filtering.
LoginIDS provides functions to analyze log files from different services in order to detect unusual login behavior. The normal user behavior is learned by analyzing log files and saved in a database. Logins are analyzed by time, service, source, and destination address. If a user's login is new or considered unlikely by LoginIDS, an alert is generated. Alerts can be handled by external scripts and viewed using the log file management system Splunk and the LoginIDS App.